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-rwxr-xr-xscripts/test-prediction-plot.R16
1 files changed, 2 insertions, 14 deletions
diff --git a/scripts/test-prediction-plot.R b/scripts/test-prediction-plot.R
index 7201e1a..512fa82 100755
--- a/scripts/test-prediction-plot.R
+++ b/scripts/test-prediction-plot.R
@@ -2,21 +2,9 @@
library(ggplot2)
-training = read.csv("data/training-test-predictions.csv",header=T)
-test <- read.csv("data/test_log10.csv",header=T)
-n = c("SMILES","LOAEL","Source")
-
-data = data.frame(factor(test$SMILES),test$LOAEL,factor(test$Dataset))
-names(data) = n
-data$Type = "experimental"
-comb = data.frame(factor(training$SMILES),training$LOAEL_predicted,factor(training$Dataset))
-names(comb) = n
-comb$Type = "predicted"
-data = rbind(data,comb)
-#data$LOAEL = -log(data$LOAEL)
+data = read.csv("data/predictions-measurements.csv",header=T)
data$SMILES <- reorder(data$SMILES,data$LOAEL)
-#img <- ggplot(data, aes(SMILES,LOAEL,ymin = min(LOAEL), ymax=max(LOAEL),shape=Source,color=Type))
-img <- ggplot(data, aes(SMILES,LOAEL,ymin = min(LOAEL), ymax=max(LOAEL),color=Type))
+img <- ggplot(data, aes(SMILES,LOAEL,ymin = min(LOAEL), ymax=max(LOAEL),color=Origin))
img <- img + ylab('-log(LOAEL mg/kg_bw/day)') + xlab('Compound') + theme(axis.text.x = element_blank()) + theme(legend.title=element_blank())
img <- img + geom_point()